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- Taylor and Francis 2013; US$ 59.95
This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use... more...
- Wiley 2004; US$ 176.00
A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical... more...
- Cambridge University Press 2004; US$ 95.00
Practically every result on multivariate t-distributions published in the last 50 years is brought together for the first time. Covers theoretical probabilistic results, statistical aspects, and generalizations and applications, including material on estimation and regression models of special value for practitioners in statistics and economics. More... more...
- Taylor & Francis 2006; US$ 109.95
Exploring data analysis in various areas of research, such as the social sciences and biology, this book presents methods for analyzing categorical data that are not sampled randomly from a normal population and often involve nonlinear relations. It provides an overview of multidimensional nonlinear descriptive analysis of discrete data. more...
- John Wiley & Sons, Inc. 2007; US$ 160.95
Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." — Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing,... more...
- Springer-Verlag New York Inc 2006; US$ 109.99
Offers a treatment on modeling approaches for non-Gaussian repeated measures. This book shows how various approaches can be implemented within the SAS software package. It provides an introduction to conditional models and the random-effects family, encompassing the beta-binomial model, the probit model, and the generalized linear mixed model. more...
- Springer 2006; US$ 99.99
This book presents the authors' personal selection of topics in multivariate statistical analysis with emphasis on tools and techniques. Topics included range from definitions of multivariate moments, multivariate distributions, asymptotic distributions of commonly used statistics and density approximations to a modern treatment of multivariate... more...
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 84.99
Brings together advances in clustering large and high-dimension data, with particular emphasis on linear algebra tools, optimization methods, and statistical techniques. Written by researchers from both academia and industry, this book covers theoretical basics as well as application and evaluation of algorithms. more...
- Springer 2006; US$ 99.99
Scientists collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. It includes expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis. more...